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Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning.

, , , and . CoRR, (2024)

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Elaboration-Generating Commonsense Question Answering at Scale., , , and . CoRR, (2022)Integrating Deep Learning with Logic Fusion for Information Extraction., and . CoRR, (2019)Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction., and . ACL (1), page 2171-2181. Association for Computational Linguistics, (2018)Cooperative Pruning in Cross-Domain Deep Neural Network Compression., , and . IJCAI, page 2102-2108. ijcai.org, (2019)Quantifying Emergence in Large Language Models., , , and . CoRR, (2024)Domain Confused Contrastive Learning for Unsupervised Domain Adaptation., , , and . NAACL-HLT, page 2982-2995. Association for Computational Linguistics, (2022)Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms., , , and . AAAI, page 3316-3322. AAAI Press, (2017)Re-Check Your Certificates! Experiences and Lessons Learnt from Real-World HTTPS Certificate Deployments., , , , , and . NSS, volume 13041 of Lecture Notes in Computer Science, page 17-37. Springer, (2021)Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification., , , , and . ACL (Findings), page 10361-10386. Association for Computational Linguistics, (2024)Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning., , and . EMNLP, page 6525-6542. Association for Computational Linguistics, (2023)